Multiple choice learning matches permutation invariant training for speech separation on WSJ0-mix and LibriMix with up to 20 speakers, at lower loss-computation cost.
Ts-sep: Joint diarization and separation conditioned on estimated speaker embeddings,
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Multiple Choice Learning for Efficient Speech Separation with Many Speakers
Multiple choice learning matches permutation invariant training for speech separation on WSJ0-mix and LibriMix with up to 20 speakers, at lower loss-computation cost.